DIFFUSION APPROXIMATIONS FOR SELF-EXCITED SYSTEMS WITH APPLICATIONS TO GENERAL BRANCHING PROCESSES

• 成果类型: Article
• 署名作者: Xu, Wei
• 署名单位: Beijing Institute of Technology
• 刊物名称: ANNALS OF APPLIED PROBABILITY
• ISSN/ISSBN: 1050-5164
• DOI: 10.1214/23-AAP2005
• 发表日期: 2024
• 页码: 2650-2713
• 关键词: state-space collapse; LIMIT-THEOREMS; caloric restriction; SCALING LIMITS; hawkes; contagion; SPECTRA; network; time; LAW

摘要

In this work, several convergence results are established for nearly critical self-excited systems in which event arrivals are described by multivariate marked Hawkes point processes. Under some mild high -frequency assumptions, the rescaled density process behaves asymptotically like a multi -type continuous -state branching process with immigration, which is the unique solution to a multi -dimensional stochastic differential equation with dynamical mechanism similar to that of multivariate Hawkes processes. To illustrate the strength of these limit results, we further establish diffusion approximations for multi -type Crump-Mode-Jagers branching processes counted with various characteristics by linking them to marked Hawkes shot noise processes. In particular, an interesting phenomenon in queueing theory, well known as state space collapse, is observed in the behavior of the population structure at a large time scale. This phenomenon reveals that the rescaled complex biological system can be recovered from its population process by a lifting map.